2015-03-04T00:21:10ZEncounters with Genius Loci Herman Wells at/and/of lndiana Universityhttp://hdl.handle.net/2022/14169
Encounters with Genius Loci Herman Wells at/and/of lndiana University
Capshew, James H.
2011-01-01T00:00:00ZThe Campus as a Pedagogical Agent: Herman B Wells, Cultural Entrepreneurship, and the Benton Muralshttp://hdl.handle.net/2022/14168
The Campus as a Pedagogical Agent: Herman B Wells, Cultural Entrepreneurship, and the Benton Murals
Capshew, James H.
2009-06-01T00:00:00ZMaking Herman B Wells: Moral Development and Emotional Trauma in a Boone County Boyhoodhttp://hdl.handle.net/2022/14167
Making Herman B Wells: Moral Development and Emotional Trauma in a Boone County Boyhood
Capshew, James H.
2011-12-01T00:00:00ZA Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agentshttp://hdl.handle.net/2022/14071
A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents
Allen, Colin; Franklin, Stan; Wallach, Wendell
Recently there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can
be tested in computer simulations such as software agents or embodied robots. The push to
implement computational models of this kind has created the field of Artificial General
Intelligence, or AGI.
Moral decision making is arguably one of the most challenging tasks for computational
approaches to higher order cognition. The need for increasingly autonomous artificial agents to
factor moral considerations into their choices and actions has given rise to another new field of inquiry variously known as Machine Morality, Machine Ethics, Roboethics or Friendly AI. In
this paper we discuss how LIDA, an AGI model of human cognition, can be adapted to model
both affective and rational features of moral decision making. Using the LIDA model we will
demonstrate how moral decisions can be made in many domains using the same mechanisms that
enable general decision making.
Comprehensive models of human cognition typically aim for compatibility with recent
research in the cognitive and neural sciences. Global Workspace Theory (GWT), proposed by
the neuropsychologist Bernard Baars (1988), is a highly regarded model of human cognition that
is currently being computationally instantiated in several software implementations. LIDA
(Franklin et al. 2005) is one such computational implementation. LIDA is both a set of
computational tools and an underlying model of human cognition, which provides mechanisms
that are capable of explaining how an agent’s selection of its next action arises from bottom-up collection of sensory data and top-down processes for making sense of its current situation. We will describe how the LIDA model helps integrate emotions into the human decision making process, and elucidate a process whereby an agent can work through an ethical problem to reach a solution that takes account of ethically relevant factors.
2010-05-13T00:00:00Z